Tapas Kumar Dutta's Projects
Unsupervised Anomaly Detection Utilizing a Teacher-Student Model Enhanced by Generative Adversarial Networks.
This study introduces RMFNet, a sophisticated attention-based model designed to enhance the efficacy of early-stage brain tumor detection through advanced feature extraction methodologies.
This work presents CDANet, an attention-based approach with channel split dual attention (CSDA), enhancing the accuracy of early-stage brain tumor detection through improved feature extraction
Pneumonia classification from X-ray images.
This repository provides Python-based filters for state estimation in diverse fields, including robotics, signal processing, finance, and more, aiming to estimate system states from noisy or incomplete measurements.
Blood Vessel Instance Segmentation in Human Kidney Histology Slides: A Repository for Comprehensive Whole-Slide Image Analysis
Credit card fraud classification using handcrafted features, feature extraction algorithms and ensemblin.
Learn OpenCV : C++ and Python Examples
An AI-driven project for manga translation, employing DETR for object detection, Trocr for text recognition on Manga109 dataset, and a Transformer architecture to translate Japanese text to English.
Markdown Cheatsheet for Github Readme.md
Multilingual Text Classification Employing Both Single and Multilingual Models augmented using Soft Labels.
Predict scalar coupling constant between atoms of organic molecule using graph neural network.
This repository provides a PyTorch implementation of RT-DeTR, a state-of-the-art Realtime Detection Transformer for object detection tasks.
My personal repository.
This repository hosts a collection of cutting-edge transformer-based architectures designed for a wide range of computer vision tasks.
Weka package for the Deeplearning4j java library